draeger-lab / InCroMAP

Integrated analysis of Cross-platform MicroArray and Pathway data

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

InCroMAP

Integrated analysis of Cross-platform MicroArray and Pathway data

License (LGPL version 3) Latest version DOI

Authors: Clemens Wrzodek, Johannes Eichner, Andreas Dräger, Finja Wrzodek, Lars Rosenbaum, Michael Römer, and Andreas Zell


Short description

Have you ever tried to integrate omics data from different biological layers? InCroMAP is a powerful, easy-to-use high-level cross-platform microarray dataset analysis tool. It provides several methods to analyze or visualize single datasets, as well as methods to perform integrated cross-platform analysis. Currently, mRNA, miRNA (microRNA), DNA methylation and protein (modification) data are supported. InCroMAP can, for example, visualize all platforms at once in a pathway, provide detailed information, e.g., about promoter methylation or perform integrated mRNA and microRNA analysis. In general, InCroMAP is a tool for general or pathway-based analysis and visualization of heterogeneous, cross-platform datasets.

Publications

Article citations are critical for us to be able to continue support for InCroMAP. If you use InCroMAP and you publish papers about work that uses InCroMAP, we ask that you please cite the most recent InCroMAP paper and possibly further manuscripts about this tool:

  1. Johannes Eichner, Lars Rosenbaum, Clemens Wrzodek, Hans-Ulrich Häring, Andreas Zell, and Rainer Lehmann. Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software. Journal of Chromatography B, May 2014. [ DOI ]
  2. Clemens Wrzodek. Inference and integration of biochemical networks with multilayered omics data. PhD thesis, University of Tuebingen, Tübingen, Germany, June 2013.
  3. Clemens Wrzodek, Johannes Eichner, Finja Büchel, and Andreas Zell. InCroMAP: Integrated analysis of Cross-platform MicroArray and Pathway data. Bioinformatics, 29(4):506-508, December 2012. [ DOI | PDF ]
  4. Clemens Wrzodek, Johannes Eichner, and Andreas Zell. Pathway-based visualization of cross-platform microarray datasets. Bioinformatics, 28(23):3021-3026, September 2012. [ DOI | PDF ]

About

Integrated analysis of Cross-platform MicroArray and Pathway data

License:GNU Lesser General Public License v3.0


Languages

Language:Java 97.7%Language:Python 1.6%Language:HTML 0.6%Language:R 0.1%